Displaying 20 results from an estimated 11000 matches similar to: "R 2.15.3 is released"
2004 Oct 19
0
Question on Rprof(); was: Re: sapply and loop
Yes. It should have something to do with read/write permissions, but it is
not clear how it happens.
I can write file to C drive using R. I usually write my results matrix to a
txt file in C drive.
For Rprof(), the boot.out file can be created, but only with one line
sample.interval=20000
The situation is the same even if I specify the directory to the D
drive,where I have the full
2007 Mar 31
1
Probem with argument "append" in "Rprof"
Hello,
Appending information to the profiler's output seems to generate
problems. Here is a small example of code :
<code r>
require(boot)
Rprof( memory.profiling = TRUE)
Rprof(NULL)
for(i in 1:2){
Rprof( memory.profiling = TRUE, append = TRUE)
example(boot)
Rprof(NULL)
}
</code>
The problem is that the file Rprof.out contains more than once the
header information:
$ grep
2010 Sep 23
0
R CMD Rprof --help suggestion
Hi,
>From reading ?Rprof, I checked
R CMD Rprof --help
and learned that there are options to specify the min % to print. This
is currently (R-devel r52975) displayed with the --help option as
--min%total minimum % to print for 'by total'
--min%self minimum % to print for 'by self'
So I tried
R CMD Rprof --min%total 5
and got an error. After looking at
2013 Jul 04
0
[LLVMdev] round() vs. rint()/nearbyint() with fast-math
On Fri, Jun 21, 2013 at 5:11 PM, Erik Schnetter <schnetter at cct.lsu.edu>wrote:
> On Fri, Jun 21, 2013 at 7:54 AM, David Tweed <david.tweed at arm.com> wrote:
>
>> | LLVM does not currently have special lowering handling for round(), and
>> I'll propose a patch to add that, but the larger question is this: should
>> fast-math change the tie-breaking
2013 Apr 24
0
help with execution of 'embarrassingly parallel' problem using foreach, doParallel on a windows system
Dear R helpers,
I have what another member on this forum described as
an embarrassingly parallel problem. I am trying to fit models on subsets of
some data based on unique combinations of two id factors in the dataset.
Total number of combinations is 30^5, and this takes a long time. So, I
would like fit models for each of the datasets produced by subsetting on
the unique combinations, splitting
2011 Feb 11
1
Help optimizing EMD::extrema()
Hi folks,
I'm attempting to use the EMD package to analyze some neuroimaging
data (timeseries with 64 channels sampled across 1 million time points
within each of 20 people). I found that processing a single channel of
data using EMD::emd() took about 8 hours. Exploration using Rprof()
suggested that most of the compute time was spent in EMD::extrema().
Looking at the code for EMD:extrema(),
2013 Jul 05
1
[LLVMdev] round() vs. rint()/nearbyint() with fast-math
----- Original Message -----
>
> On Fri, Jun 21, 2013 at 5:11 PM, Erik Schnetter <
> schnetter at cct.lsu.edu > wrote:
>
>
>
>
>
>
> On Fri, Jun 21, 2013 at 7:54 AM, David Tweed < david.tweed at arm.com >
> wrote:
>
>
>
>
>
>
> | LLVM does not currently have special lowering handling for round(),
> | and
>
2008 Sep 16
0
Help with Profiling Memory Use in R with summaryRprof
Hi All,
I am a new user of R currently trying to profile memory usage of some
R code with summaryRprof in R version 2.7.2 in Windows. If I use the
memory = "both" option in summaryRprof(), I have no problems viewing
the profiling of both the time and memory usage. However if I try to
use memory = "stats," I get the following error:
Error in tapply(1:4369L, list(index =
2008 Sep 16
0
Help with Memory Profiling in R with summaryRprof
Hi All,
I am a new user of R currently trying to profile memory usage of some R
code with summaryRprof in R version 2.7.2 in Windows. If I use the memory =
"both" option in summaryRprof(), I have no problems viewing the profiling of
both the time and memory usage. However if I try to use memory = "stats," I
get the following error:
Error in tapply(1:4369L, list(index =
2011 Feb 28
0
Fwd: Re: speed up process
Dear Jim,
Here is again exactly what I did and with the output of Rprof (with this
reduced dataset and with a simpler function, it is here much faster than
in real life).
Thanks you again for your help!
## CODE ##
mydata1<- structure(list(species = structure(1:8, .Label =
c("alsen","gogor", "loalb", "mafas", "pacyn", "patro",
2012 Feb 29
0
R 2.14.2 is released + R anniversary
The build system rolled up R-2.14.2.tar.gz (codename "Gift-Getting Season") at 9:00 this morning. This is intended to be the final round-up release of the 2.14 series; see the list below for details.
(The codename is still not part of the actual sources. That feature will have to wait for 2.15.0, "Easter Beagle").
This release also marks the 3rd anniversary of R-1.0.0.
You
2012 Feb 29
0
R 2.14.2 is released + R anniversary
The build system rolled up R-2.14.2.tar.gz (codename "Gift-Getting Season") at 9:00 this morning. This is intended to be the final round-up release of the 2.14 series; see the list below for details.
(The codename is still not part of the actual sources. That feature will have to wait for 2.15.0, "Easter Beagle").
This release also marks the 3rd anniversary of R-1.0.0.
You
2005 Dec 24
0
acts_as_taggable - adding users and normalizing tags
Hey all,
I''m wondering how people are using acts_as_taggable. Two things I''d
like to do that aren''t supported out of the box are tag normalization
and user attribution. I can''t imagine I''m the first to think about
doing this.
>From a schema perspective these things both seem simple, just put the
normalized tag in the tags table, and have a join
2006 Aug 18
4
Database Triggers?
Hi,
I''m new to RoR and exploring its use with an existing application. One
thing I can''t seem to find much detail on is using database triggers.
All RoR examples and tutorials I''ve seen are very basic saving data back
to a single table. My use case includes a somewhat denormalized DB that
uses triggers to store data in multiple tables on occassion. I
currently
2010 Jan 05
1
Naming functions for the purpose of profiling
Hi all,
I have some long-running code that I'm trying to profile. I am seeing a
lot of time spent inside the <Anonymous> function. Of course, this can
in fact be any of several functions, but I am unable to see how I could
use the information from Rprof.out to discern which function is taking
the most time. An example line from my Rprof.out is:
rbernoulli <Anonymous>
2005 Jan 20
0
Interpreting Rprof output
Hello!
I have run Rprof on a function of mine and the results look very strange,
to say the least. At the end I of this email is an output of summaryRprof. Can someone help me interpret this output? I have read the appropriate section in the manual "Writing R Extensions" and help pages.
If I understand this output correctly, it is saying that "unlist" has been active in
2004 Sep 12
0
write.table performance: an alternative?
Dear R's,
I have been using R lately to perform some statistical analysis and,
based on them, simulations to be exported in flat text files to other
programs. These text files are nowadays of about 30MB in size, but they
could finally be of up to 300MB.
Writing these files with either write.table or write.matrix was
desperately slow and the bottleneck of the whole process. Besides, the
2013 May 16
0
R 3.0.1 is released
The build system rolled up R-3.0.1.tar.gz (codename "Good Sport") this morning.
The list below details the changes in this release.
You can get the source code from
http://cran.r-project.org/src/base/R-3/R-3.0.1.tar.gz
or wait for it to be mirrored at a CRAN site nearer to you.
Binaries for various platforms will appear in due course.
For the R Core Team
Peter Dalgaard
These
2018 Jan 12
0
[cfe-dev] Why is #pragma STDC FENV_ACCESS not supported?
I'll give some data points from our OpenVMS Itanium (and Alpha)
platforms where we support multiple IEEE modes and dynamic rounding in
our C and Fortran compilers (we don't have actual FENV_ACCESS in our C
product but you can come close).
On the command line, you get to pick IEEE modes with:
/IEEE_MODE
/IEEE_MODE=option
/IEEE_MODE=DENORM_RESULTS (D)
Selects the
2009 Sep 23
1
High CPU usage
Hi Jeff,
Hi Jean-Marc,
I first modified the FPU control word to raise an exception whenever a denormal is used. Then I used the debugger to locate the exceptions and added VERY_SMALLs where they seem to fit well.
Although I got CPU usage as low as 10%, I seriously lack knowledge of how things work inside speex. So just changing some code is not the best idea for me.
My second attempt was to